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Showing 1–5 of 5 results
Advanced filters: Author: Ariosto Silva Clear advanced filters

  • The natural progression of tumours and their treatment can influence tumour evolution. Here, authors analyse whole-exome sequencing data from various cancer cohorts, finding that treatment-resistant tumors shift toward neutral evolution, which correlates with worse prognosis, and monitoring this shift may guide treatment decisions.

    • Erez Persi
    • Praneeth R. Sudalagunta
    • Eugene V. Koonin
    ResearchOpen Access
    Nature Communications
    Volume: 16, P: 1-15

  • Ibrutinib has demonstrated high response rates in B-cell lymphomas but a lot of ibrutinib-treated patients relapse with resistance. This study unified TME-mediatedde novoand acquired drug resistance through B-cell receptor signalling and PI3K-AKT-mTOR axis and provides a combination therapeutic strategy against B-cell malignancies.

    • Xiaohong Zhao
    • Tint Lwin
    • Jianguo Tao
    ResearchOpen Access
    Nature Communications
    Volume: 8, P: 1-15

  • Here, the authors develop a hybrid agent-based model to quantify the contributions of intrinsic cellular mechanisms and bone ecosystem factors to therapy resistance in multiple myeloma. They show that intrinsic mechanisms are essential for resistance, and that the bone microenvironment provides a protective niche that increases the likelihood.

    • Ryan T. Bishop
    • Anna K. Miller
    • David Basanta
    ResearchOpen Access
    Nature Communications
    Volume: 15, P: 1-18

  • Based on a consensus conference of experts in the evolution and ecology of cancer, this article proposes a framework for classifying tumours that includes four evolutionary and ecological processes: neoplastic cell diversity and changes over time in that diversity, hazards to cell survival and available resources.

    • Carlo C. Maley
    • Athena Aktipis
    • Darryl Shibata
    ReviewsOpen Access
    Nature Reviews Cancer
    Volume: 17, P: 605-619